AkagawaTsurunaki / zerolan-core
ZerolanCore integrates many open-source, locally deployable AI models, and aims to integrate a series of AI models such as large language model (LLM), automatic speech recognition (ASR), text-to-speech (TTS), image captioning, optical character recognition (OCR), video captioning, etc.
Why this job: says: text to speech, speech recognition, tts; topics: tts, asr
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 122
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.4
- Released 10 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 1 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 5
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| NVIDIA-NeMo / Speech | 18,735 | yesterday | Apache-2.0 | No downloads |
| zai-org / GLM-ASR | 861 | 8 months ago | Apache-2.0 | No downloads |
| second-state / echokit_server | 590 | 9 months ago | GPL-3.0 | Linux |
More: languages, topics and project record
Languages
- Python 98%
- Dockerfile 2%
Topics
- anaconda
- asr
- cv
- docker
- image-captioning
- llm
- nlp
- ocr
- python
- tts
- video-captioning
Project record
- JobSpeech and audio
- StatusListed
- Commits185
- Forks28
- Watching1
- Stars in 28 days+3
- CreatedNov 4, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
